Selective-input Adaptation of Model-based Water-layer Demultiple

Author(s):  
H. Huang ◽  
P. Wang ◽  
S. Hu
Geophysics ◽  
1999 ◽  
Vol 64 (6) ◽  
pp. 1816-1827 ◽  
Author(s):  
Guochun Lu ◽  
Bjørn Ursin ◽  
Jan Lutro

We have developed a procedure to attenuate water‐layer multiple reflections. We estimate the sea‐bottom reflectivity function and use it plus calculated amplitude functions to model all order water‐layer multiple reflections, taking into account both amplitude and waveform shape. We model the primary and multiple reflections from the sea bottom in the frequency‐slowness domain. The amplitude function in the data modeling includes the source directivity function, source ghost response, receiver array directivity function, receiver ghost response, and offset‐dependent geometrical spreading. For small offsets we can assume that the seabed reflectivity depends only on frequency, and it is estimated using a least‐squares algorithm. An unknown scaling constant in the data is estimated using the amplitude of the primary and first multiple reflection from the sea bed. The composite sea‐bottom reflectivity is estimated as a function of frequency for each common midpoint (CMP) position. We apply the algorithm to high‐resolution seismic data from the North Sea. The modelled data match the recorded data well, and the estimated primary reflectivity is more geologically meaningful than the stacked trace. By comparison with Radon transform multiple removal applied to the same data, the model‐based method was more computationally efficient and left less residual multiple energy.


First Break ◽  
2014 ◽  
Vol 32 (2013) ◽  
Author(s):  
Ping Wang ◽  
Hongzheng Jin ◽  
Min Yang ◽  
Sheng Xu
Keyword(s):  

Author(s):  
J. Cooper ◽  
G. Poole ◽  
R. Wombell ◽  
P. Wang

2014 ◽  
Author(s):  
Weiqiang Sun ◽  
Jiangtao Hu ◽  
Huazhong Wang ◽  
Shouwei Liu
Keyword(s):  

2011 ◽  
Author(s):  
Ping Wang ◽  
Hongzheng Jin ◽  
Sheng Xu ◽  
Yu Zhang
Keyword(s):  

Geophysics ◽  
2010 ◽  
Vol 75 (6) ◽  
pp. WB211-WB217 ◽  
Author(s):  
Yibo Wang ◽  
Shuqian Dong ◽  
Yi Luo

We have proposed a two-stage model-based interferometric interpolation method for filling in gaps in marine seismic data. The first stage is creating virtual traces and the second stage is utilizing modified virtual traces for interpolation. There are three steps for creating a virtual trace. First, set the virtual trace’s source and receiver coordinates and retrieve two common-receiver gathers (CRG) from existing data. At least one CRG should be obtained, otherwise, our method cannot be performed. Second, if only one CRG is obtained, then a synthetic CRG should be generated using known velocity model (e.g., water-layer model). Third, the virtual trace is created by summing correlated trace pairs over all identical source positions in two CRGs. When all virtual traces are created, a least-squares matching filter or a nonstationary prediction error filter (PEF) should be used together with virtual traces to do the interpolation. If the trace gap is small or the subsurface geology is simple, the local matching filter is preferred for the improvement of signal-to-noise ratio, otherwise, we need to estimate a PEF from virtual traces and then use this PEF for interpolation. A simple velocity model and Sigsbee2b velocity model are used to validate the effectiveness of our method. Results show that the trace gaps can be kinematically interpolated, but there are still artifacts that are due to the approximations made in our theory.


2016 ◽  
Author(s):  
Hui Huang ◽  
Ping Wang ◽  
Jing Yang ◽  
Hui Chen ◽  
Pierre Olivier Ariston ◽  
...  
Keyword(s):  

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